Overview
The Senior Data Engineer will play a crucial role in a transformative Snowflake project, leveraging extensive experience to deliver high-quality data solutions. The contractor will work independently, contributing to a team focused on enhancing data infrastructure and capabilities while collaborating with other data professionals to drive project success.
Responsibilities
- Develop and implement data pipelines and ETL processes using Snowflake.
- Collaborate with cross-functional teams to support data analysis and reporting needs.
- Optimize existing data workflows to improve performance and reliability.
- Ensure data quality and organization throughout the transformation process.
- Utilize DBT and Airflow for data modeling and orchestration tasks.
- Mentor junior data engineers and provide technical guidance as needed.
Requirements
- Minimum of 8 years of experience in data engineering.
- Proficiency in Snowflake and its ecosystem.
- Experience with data transformation tools such as DBT.
- Familiarity with workflow management tools, particularly Airflow.
- Strong understanding of data architecture and data modeling principles.
- Ability to work independently and manage multiple tasks effectively.